List Balancing for Reweighting and Population Synthesis R package ipfr version 1.0.2 Performs iterative proportional updating given a seed table and an arbitrary number of marginal distributions. This is commonly used in population synthesis, survey raking, matrix rebalancing, and other applications. For example, a household survey may be weighted to match the known distribution of households by size from the census. An origin/ destination trip matrix might be balanced to match traffic counts. The approach used by this package is based on a paper from Arizona State University (Ye, Xin, et. al. (2009) <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.537.723&rep=rep1&type=pdf>). Some enhancements have been made to their work including primary and secondary target balance/importance, general marginal agreement, and weight restriction. Software Depends: R (>= 3.2.0) Imports: dplyr (>= 0.7.3), ggplot2 (>= 2.2.1), magrittr (>= 1.5), tidyr (>= 0.5.1), mlr (>= 2.11) Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr Kyle Ward <kyleward084@gmail.com> Comprehensive R Archive Network (CRAN) Kyle Ward [aut, cre, cph], Greg Macfarlane [ctb] Apache License (== 2.0) 2020-04-01 application/tgz https://CRAN.R-project.org/package=ipfr doi:10.32614/CRAN.package.ipfr